code: def synthetic_multilabel():
      # data
      X = [
          [1, 0, 0, 0, 0, 0, 0],
          [1, 2, 0, 0, 0, 0, 0],
          [3, 0, 0, 0, 0, 0, 0],
          [3, 4, 0, 0, 0, 0, 0],
          [2, 0, 0, 0, 0, 0, 0],
          [3, 0, 0, 0, 0, 0, 0],
          [4, 0, 0, 0, 0, 0, 0],
          [2, 3, 0, 0, 0, 0, 0],
          [1, 2, 3, 0, 0, 0, 0],
          [1, 2, 3, 4, 0, 0, 0],
          [0, 0, 0, 0, 0, 0, 0],
          [1, 1, 2, 3, 0, 0, 0],
          [2, 3, 3, 4, 0, 0, 0],
          [4, 4, 1, 1, 2, 0, 0],
          [1, 2, 3, 3, 3, 3, 3],
          [2, 4, 2, 4, 2, 0, 0],
          [1, 3, 3, 3, 0, 0, 0],
          [4, 4, 0, 0, 0, 0, 0],
          [3, 3, 0, 0, 0, 0, 0],
          [1, 1, 4, 0, 0, 0, 0],
      ]
  
      Y = [
          [1, 0, 0, 0],
          [1, 1, 0, 0],
          [0, 0, 1, 0],
          [0, 0, 1, 1],
          [0, 1, 0, 0],
          [0, 0, 1, 0],
          [0, 0, 0, 1],
          [0, 1, 1, 0],
          [1, 1, 1, 0],
          [1, 1, 1, 1],
          [0, 0, 0, 0],
          [1, 1, 1, 0],
          [0, 1, 1, 1],
          [1, 1, 0, 1],
          [1, 1, 1, 0],
          [0, 1, 0, 0],
          [1, 0, 1, 0],
          [0, 0, 0, 1],
          [0, 0, 1, 0],
          [1, 0, 0, 1],
      ]
  
      X = np.array(X)
      Y = np.array(Y)
      return (X, Y)
  
file_path: ktrain/tests/test_multilabel.py
imports: from unittest import TestCase, main, skip
  import numpy
  import testenv
  import ktrain
  from ktrain import utils
  from ktrain.imports import ACC_NAME, VAL_ACC_NAME
label_desc: Use image node_id 1 for calling a global function with example usage: synthetic_multilabel() and returns: X,  Y